Maryam Yarandi

An ontology-based adaptive mobile learning system based on learners' abilities

The rapid development of wireless infrastructure and wide use of mobile devices in our daily life has a major impact on our way of learning using computing technology. Particularly, learning a new language is a challenging task for researchers. Furthermore, adaptive services is nowadays an important research topic in the field of web-based and mobile learning systems as there are no fixed learning path which are appropriate for all learners. However, most studies in this field have only focused on learning styles and habits of learners. Far too little attention has been paid on understanding the ability of learners. Therefore, the purpose of this paper is to propose a new adaptive mobile learning model for learning new languages based on the ability of learners. An ontology-based knowledge modelling technique is proposed to classify language learning materials and describe user profiles in order to provide adaptive learning environment.

Adaptive E-Learning System Using Ontology

This paper proposes an innovative ontological approach to design a personalised e-learning system which creates a tailored workflow for individual learner. Moreover, the learning content and sequencing logic is separated into content model and pedagogical model to increase the reusability and flexibility of the system.